Mayank Shekhar Jha

19 papers C 3Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Deep Learning Based Prognostics of Nonlinear Systems Under Degradation in Closed-Loop. SysTol Mayank Shekhar Jha, Didier Theilliol, Pierre Belleoud, Stephane Oriol
2025	J	`jnl`	Human-informed skill discovery: Controlled diversity with preference in reinforcement learning. Expert Syst. Appl. Maxence Hussonnois, Thommen George Karimpanal, Mayank Shekhar Jha, Santu Rana
2025	—	`conf`	Neural Ordinary Differential Equations based System Identification for Reinforcement Learning with Provable Guarantees. CDC Théo Rutschke, Mayank Shekhar Jha, Hugues Garnier
2025	J	`jnl`	Off-policy safe reinforcement learning for nonlinear discrete-time systems. Neurocomputing Mayank Shekhar Jha, Bahare Kiumarsi
2025	C	`conf`	Safe Reinforcement Learning Tracking Control based on Tunable Input-to-State Safe Control Barrier Function. ACC Soha Kanso, Mayank Shekhar Jha, Didier Theilliol
2024	—	`conf`	A Weighted Linearization Approach to Gradient Descent Optimization. ECC Damiano Rotondo, Mayank Shekhar Jha
2024	J	`jnl`	Degradation tolerant optimal control design for stochastic linear systems. Int. J. Appl. Math. Comput. Sci. Soha Kanso, Mayank Shekhar Jha, Didier Theilliol
2024	J	`jnl`	Remaining Useful Life prediction based on physics-informed data augmentation. Reliab. Eng. Syst. Saf. Martin Hervé de Beaulieu, Mayank Shekhar Jha, Hugues Garnier, Farid Cerbah
2024	C	`conf`	Safe Reinforcement Learning Based on Off-Policy Approach for Nonlinear Discrete-Time Systems. ACC Mayank Shekhar Jha, Bahare Kiumarsi, Didier Theilliol
2023	—	`conf`	Assessing a Statistical and a Set-based Approach for Remaining Useful Life Prediction. MED Khoury Boutrous, Julien Thuillier, Mayank Shekhar Jha, Vicenç Puig, Didier Theilliol
2023	—	`conf`	Redundancy-Aware Physics Informed Neural Networks (R-PINNs) Based Learning of Nonlinear Algebraic Systems with Non-Measurable States. CDC Mayank Shekhar Jha, Hugues Garnier, Didier Theilliol
2023	J	`jnl`	Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks. CoRR Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Paul Lukowicz
2023	C	`conf`	Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. IECON Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz
2023	J	`jnl`	Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries. CoRR Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, Paul Lukowicz
2022	—	`conf`	Degradation Tolerant Optimal Control Design for Linear Discrete-Times Systems. DPS Soha Kanso, Mayank Shekhar Jha, Didier Theilliol
2020	J	`jnl`	A Reinforcement Learning Approach to Health Aware Control Strategy. CoRR Mayank Shekhar Jha, Philippe Weber, Didier Theilliol, Jean-Christophe Ponsart, Didier Maquin
2020	J	`jnl`	Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear. Sensors Sungho Suh, Joel Jang, Seungjae Won, Mayank Shekhar Jha, Yong Oh Lee
2016	J	`jnl`	Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework. Comput. Chem. Eng. Mayank Shekhar Jha, Mathieu Bressel, Belkacem Ould Bouamama, Geneviève Dauphin-Tanguy
2014	—	`conf`	Robust FDI based on LFT BG and relative activity at junction. ECC Mayank Shekhar Jha, Geneviève Dauphin-Tanguy, Belkacem Ould Bouamama